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Vision, Learning, and Development |
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@TechReport{,
author = {Christopher Brown},
title = {Vision, Learning, and Development},
institution = {The University of Rochester},
year = {1994},
number = {492},
address = {Rochester NY, 14627},
month = {May},
abstract = { It seems to be a common feeling that animals learn to see, and this feeling, together with the re
emergence of computer learning paradigms that mimic many forms of human learning, has raised
hopes that learning is the key to the computer vision problem. Indeed, it seems clear that Nature does
not ``program'' all our visual capabilities into the genome, and we certainly know that programming
a computer with a closedform solution to the vision problem is a daunting task.
This aim of this informal and elementary report (basically a term paper) is to cast doubt on
the idea that biological systems learn to see. The complex process of development, beginning at
fertilization and ending with a mature individual, could be considered to have genetic (``nature'') and
learning (``nurture'') processes as logical endpoints or opposite poles. This report mostly considers
what goes on between those endpoints, and is meant to raise the possibility that some of the least
understood processes in biology are responsible for visual capabilities.
This material is based on work supported by the National Science Foundation under Grants numbered CDA
8822724 and IRI9202816. The government has certain rights in this material.}
}